hypothesis-driven-data-analysis
hypothesis-driven-data-analysis is a Structured reasoning & decision frameworks skill for AI agents, published by MichaelRochonnn in the mckinsey-bcg-consulting repository on GitHub. Skillspace rates hypothesis-driven-data-analysis C (73/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill when analyzing data to find actionable business solutions. It helps you decide between hypothesis-driven thinking and data mining approaches, ensuring you prioritize logical causation over mere statistical correlation. Apply during strategic planning, product development, or marketing initiatives when you have access to data and a business problem to solve.
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 33
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 98 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.